认知系统的单、多、多尺度分析和分数算子

W. Kinsner
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引用次数: 0

摘要

认知系统是由感知-行动过程、记忆、注意力和智力控制的进化系统。经典的动力系统要么没有记忆,要么记忆很短,正如指数松弛的马尔可夫假设所表明的那样。本讲座概述了这类系统的单尺度、多尺度和多尺度建模,重点是多尺度测量和分数阶微分和积分方程,它们是具有短期、长期和任何其他长期记忆的动力系统建模的基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mono-, Multi-, And Poly-scale Analyses AND Fractional Operators for Cognitive Systems
Cognitive systems are evolving system as governed by perception-action processes, memory, attention, and intelligence. Classical dynamic systems have either no memory, or very short memory, as signified by the Markovian assumption of exponential relaxation. This talk provides an overview of mono-scale, multi-scale and poly-scale modeling of such systems, with emphasis on poly-scale measures and fractional-order differential and integral equations as the basis for modeling of dynamical systems with short-term, long-term, and any other-term memories.
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